Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Tenorio, M. F."'
Publikováno v:
Department of Electrical and Computer Engineering Technical Reports
One major problem in applying neural networks to financial applications is the large number of features involved. The feature set is large because we simply do not know which of the given features may be useful to the system and include rather than r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______540::db9490da32208022996f5fb3c33aae6a
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1269&context=ecetr
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1269&context=ecetr
Publikováno v:
Department of Electrical and Computer Engineering Technical Reports
The selection of an embedding scheme is an important step in the modeling and prediction of chaotic dynamical systems. Theoretical work in embedding selection abounds in the literature. However in neural network research, mostly compute intensive met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______540::70388f3128cd811e14c14f5a8150443e
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1267&context=ecetr
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1267&context=ecetr
Publikováno v:
Department of Electrical and Computer Engineering Technical Reports
This report describes a neural network architecture ClusNet designed for the prediction of chaotic time series. It advantages include simplicity, fast and sure convergence, and less need for computing resources. After describing its architecture and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______540::62706fc11646b13efd830059e4954541
http://docs.lib.purdue.edu/ecetr/276
http://docs.lib.purdue.edu/ecetr/276
Publikováno v:
Department of Electrical and Computer Engineering Technical Reports
Previously, we have presented a method for embedding selection based on cluster analysis. In this paper, we described an embedding selection method based on a feature reduction transformation matrix. This method extracts features that are important f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______540::b38f2115e87f009ddb8eb2899a653c5c
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1268&context=ecetr
http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1268&context=ecetr
Publikováno v:
Department of Electrical and Computer Engineering Technical Reports
This study describes an application of Neural Networks for transmission errors identification and correction in binary messages. The network is used as a classifier of detected hydro-acoustic signals into one of a possible alphabet of symbols. The al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______540::80b9798b26f4595950d0fcb46944aa85
http://docs.lib.purdue.edu/ecetr/283
http://docs.lib.purdue.edu/ecetr/283
Publikováno v:
Department of Electrical and Computer Engineering Technical Reports
This Technical Report contains all the cluster plots generated for the cluster analyses described in §9.7 of [1]. The Lance and William General Algorithm with complete linkages for hierarchical clustering analysis [2] is used. A brief description of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______540::ef709b1d115ebec232c5d437cd6de5fe
https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1708&context=ecetr
https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1708&context=ecetr
Publikováno v:
International Journal of Neural Systems; Sep1993, Vol. 4 Issue 3, p247-255, 9p
Autor:
Tom MD; Parallel Distributed Structure Lab., Purdue Univ., West Lafayette, IN., Tenorio MF
Publikováno v:
IEEE transactions on neural networks [IEEE Trans Neural Netw] 1995; Vol. 6 (2), pp. 387-97.
Autor:
Tenorio MF; Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN., Lee WT
Publikováno v:
IEEE transactions on neural networks [IEEE Trans Neural Netw] 1990; Vol. 1 (1), pp. 100-10.